Job Description Summary

Join a small, high-impact team building the next generation of AI-enabled commercial experiences using Salesforce, MuleSoft, and Agentic AI. We are looking for an engineer who can combine deep technical execution with an understanding of sales workflows to turn complex seller journeys into simple, intelligent experiences.

GE HealthCare is a $20B publicly traded global med-tech company focused on diagnostic and digital solutions. With more than 50,000 employees across 160+ countries, GE HealthCare serves over 1 billion patients worldwide. Founded in 2023 as a spin-off from GE, we combine a strong heritage of innovation with the agility of a new growth-oriented public company.

Job Description

What You'll Do

• Configure and develop using Apex, Flow, Python, the REST Query API, Agentforce script, Lightning Actions and HXL as required - following security, change-management, and release controls.
• Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
• Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
• Working knowledge of enterprise B2B sales processes, including lead-to-opportunity, account and contact management, opportunity lifecycle, pipeline and forecasting, and sales execution workflows, with the ability to translate business processes into scalable Salesforce solutions.
• Ability to understand Sales Rep and Sales Manager personas and translate commercial needs such as account preparation, opportunity progression, customer engagement, and next-best actions into intuitive, AI-enabled workflows that improve seller productivity.
• AI-Assisted Engineering: Leverage modern AI tools (Claude, Kiro) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
• Ground the agents. Design, build, and maintain artifacts that ground Agentforce solutions in accurate, real-time enterprise data.
• Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
• Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.

Qualifications

• 5+ years of software engineering or technical delivery experience, with at least 2 production AI, data engineering, or enterprise integration system deployed to production.
• You are fluent in - Apex, or JavaScript, Agentforce script - and are willing to learn the others as needed.
• Multi-Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
• Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
• You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
• You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases.
• You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
• Hands-on AI & Grounding Expertise: LLM orchestration, prompt tuning, and building knowledge base retrievers for enterprise data.

Preferred Qualifications

• You have a bachelor's degree in Computer Science or equivalent practical experience.
• You have relevant certifications in Salesforce Agentforce and Claude.
• Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
• Nice to have Mulesoft Agentfabric experience.

 

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity.

 

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.

 

#LI-BR3

#LI-Hybrid

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $117,600.00-$176,400.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

Additional Information

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.